Forecasting: Principles and Practice
Preface
1 Getting started
2 Time series graphics
3 The forecaster’s toolbox
4 Judgmental forecasts
5 Time series regression models
6 Time series decomposition
7 Exponential smoothing
8 ARIMA models
9 Dynamic regression models
10 Forecasting hierarchical or grouped time series
11 Advanced forecasting methods
12 Some practical forecasting issues
Appendix: Using R
Appendix: For instructors
Appendix: Reviews
Translations
About the authors
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Bibliography
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Forecasting: Principles and Practice (2nd ed)

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